On algorithms for efficient data migration
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Minerva: An automated resource provisioning tool for large-scale storage systems
ACM Transactions on Computer Systems (TOCS)
Fault-Tolerant Replication Management in Large-Scale Distributed Storage Systems
SRDS '99 Proceedings of the 18th IEEE Symposium on Reliable Distributed Systems
Highly Concurrent Shared Storage
ICDCS '00 Proceedings of the The 20th International Conference on Distributed Computing Systems ( ICDCS 2000)
Handbook of Scheduling: Algorithms, Models, and Performance Analysis
Handbook of Scheduling: Algorithms, Models, and Performance Analysis
The Panasas ActiveScale Storage Cluster: Delivering Scalable High Bandwidth Storage
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Zygaria: Storage Performance as a Managed Resource
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Reliability for Networked Storage Nodes
DSN '06 Proceedings of the International Conference on Dependable Systems and Networks
Ursa minor: versatile cluster-based storage
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Server-storage virtualization: integration and load balancing in data centers
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Ecotopia: an ecological framework for change management in distributed systems
Architecting dependable systems IV
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Much of the practical work in the autonomic management of storage systems has taken the "bolt-on" approach: take existing systems and add a separate management system on the side. While this approach can improve legacy systems, it has several problems, including scaling to heterogeneous and large systems and maintaining consistency between the system and the management model. We argue for a different approach, where autonomic management is woven throughout a system, as in the K2 distributed storage system that we are implementing. This distributes responsibility for management operations over all nodes according to ability and security, and stores management state as part of the entities being managed. Decision algorithms set general configuration goals and then let many system components work in parallel to move toward the goals.